Machine Learning for Decision Support and Automation in Games: A Study on Vehicle Optimal Path by Gonçalo Penelas, Luís Barbosa, Arsénio Reis, João Barroso, Tiago Pinto

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Dual-Priority Delayed Deep Double Q-Network (DPD3QN): A Dueling Double Deep Q-Network with Dual-Priority Experience Replay for Autonomous Driving Behavior Decision-Making by Shuai Li, Peicheng Shi, Aixi Yang, Heng Qi, Xinlong Dong

“…Compared with the currently popular DQN and DDQN algorithms, this algorithm achieves higher success rates in challenging scenarios. …”
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Chaos-Enhanced Fractional-Order Iterative Methods for the Stable and Efficient Solution of Nonlinear Engineering Problems by Mudassir Shams, Bruno Carpentieri

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Spatial Shape-Aware Network for Elongated Target Detection by Shaowen Xu, Der-Horng Lee

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Using Coherent Hemodynamic Spectroscopy Model to Investigate Cardiac Arrest by Vladislav Toronov, Nima Soltani, Leeanne Leung, Rohit Mohindra, Steve Lin

“…This model was applied to data from a previously published cardiac arrest and cardiopulmonary resuscitation (CPR) study in pigs, where cerebral blood flow changed by 100%. While our prior work demonstrated the utility of this approach for analyzing cerebral microvascular and metabolic parameters, it did not include the algorithmic details necessary for reproducibility and broader application. …”
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Analysis of Short Texts Using Intelligent Clustering Methods by Jamalbek Tussupov, Akmaral Kassymova, Ayagoz Mukhanova, Assyl Bissengaliyeva, Zhanar Azhibekova, Moldir Yessenova, Zhanargul Abuova

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Simulation and Optimization of Multi-Phase Terminal Trajectory for Three-Dimensional Anti-Ship Missiles Based on Hybrid MOPSO by Jiandong Sun, Shixun You, Di Hua, Zhiwei Xu, Peiyao Wang, Zihang Yang

“…The simulation results demonstrate that, in typical scenarios, the mean miss distance optimized by MOPSO-h remains no greater than 2.34 m, while the terminal landing angle is consistently no less than 85.68°. …”
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Optimizing Economy with Comfort in Climate Control System Scheduling for Indoor Ice Sports Venues’ Spectator Zones Considering Demand Response by Zhuoqun Du, Yisheng Liu, Yuyan Xue, Boyang Liu

“…In terms of algorithm comparison, the performance of three typical multi-objective optimization algorithms—NSGA-II, standard MOEA/D, and Multi-Objective Brown Bear Optimization (MOBBO)—is systematically evaluated. …”
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Spatiotemporal Contextual 3D Semantic Segmentation for Intelligent Outdoor Mining by Wenhao Yang, Liqun Kuang, Song Wang, Xie Han, Rong Guo, Yongpeng Wang, Haifeng Yue, Tao Wei

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Memory-Efficient Batching for Time Series Transformer Training: A Systematic Evaluation by Phanwadee Sinthong, Nam Nguyen, Vijay Ekambaram, Arindam Jati, Jayant Kalagnanam, Peeravit Koad

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Inspiring from Galaxies to Green AI in Earth: Benchmarking Energy-Efficient Models for Galaxy Morphology Classification by Vasileios Alevizos, Emmanouil V. Gkouvrikos, Ilias Georgousis, Sotiria Karipidou, George A. Papakostas

“…We demonstrate that hardware–algorithm co-design, model sparsification, and careful hyperparameter tuning can reduce carbon footprints by over 90% with negligible loss in classification quality. …”
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Machine Learning Reconstruction of Wyrtki Jet Seasonal Variability in the Equatorial Indian Ocean by Dandan Li, Shaojun Zheng, Chenyu Zheng, Lingling Xie, Li Yan

“…To address the scarcity of in situ observational data, this study developed a satellite remote sensing-driven multi-parameter coupled model and reconstructed the WJ’s seasonal variations using the XGBoost machine learning algorithm. The results revealed that wind stress components, sea surface temperature, and wind stress curl serve as the primary drivers of its seasonal dynamics. …”
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DEPANet: A Differentiable Edge-Guided Pyramid Aggregation Network for Strip Steel Surface Defect Segmentation by Yange Sun, Siyu Geng, Chengyi Zheng, Chenglong Xu, Huaping Guo, Yan Feng

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Automatic Generation of Synthesisable Hardware Description Language Code of Multi-Sequence Detector Using Grammatical Evolution by Bilal Majeed, Rajkumar Sarma, Ayman Youssef, Douglas Mota Dias, Conor Ryan

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An Automated Framework for Streamlined CFD-Based Design and Optimization of Fixed-Wing UAV Wings by Chris Pliakos, Giorgos Efrem, Dimitrios Terzis, Pericles Panagiotou

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Characterization of Rock Pore Geometry and Mineralization Process via a Random Walk-Based Clogging Scheme by Linh Thi Hoai Nguyen, Tomoyuki Shirai, Takeshi Tsuji

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Analysis of Reliability and Efficiency of Information Extraction Using AI-Based Chatbot: The More-for-Less Paradox by Eugene Levner, Boris Kriheli

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Code Obfuscation: A Comprehensive Approach to Detection, Classification, and Ethical Challenges by Tomer Raitsis, Yossi Elgazari, Guy E. Toibin, Yotam Lurie, Shlomo Mark, Oded Margalit

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Ultra-Low-Cost Real-Time Precise Point Positioning Using Different Streams for Precise Positioning and Precipitable Water Vapor Retrieval Estimates by Mohamed Abdelazeem, Amgad Abazeed, Hussain A. Kamal, Mudathir O. A. Mohamed

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Explainable MRI-Based Ensemble Learnable Architecture for Alzheimer’s Disease Detection by Opeyemi Taiwo Adeniran, Blessing Ojeme, Temitope Ezekiel Ajibola, Ojonugwa Oluwafemi Ejiga Peter, Abiola Olayinka Ajala, Md Mahmudur Rahman, Fahmi Khalifa

“…With the advancements in deep learning methods, AI systems now perform at the same or higher level than human intelligence in many complex real-world problems. The data and algorithmic opacity of deep learning models, however, make the task of comprehending the input data information, the model, and model’s decisions quite challenging. …”
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